{"pageNumber":"135","pageRowStart":"3350","pageSize":"25","recordCount":16458,"records":[{"id":70121300,"text":"ofr20141158 - 2014 - Two decision-support tools for assessing the potential effects of energy development on hydrologic resources as part of the Energy and Environment in the Rocky Mountain Area interactive energy atlas","interactions":[],"lastModifiedDate":"2018-08-10T16:13:29","indexId":"ofr20141158","displayToPublicDate":"2014-09-16T12:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1158","title":"Two decision-support tools for assessing the potential effects of energy development on hydrologic resources as part of the Energy and Environment in the Rocky Mountain Area interactive energy atlas","docAbstract":"The U.S. Geological Survey project—Energy and Environment in the Rocky Mountain Area (EERMA)—has developed a set of virtual tools in the form of an online interactive energy atlas for Colorado and New Mexico to facilitate access to geospatial data related to energy resources, energy infrastructure, and natural resources that may be affected by energy development. The interactive energy atlas currently (2014) consists of three components: (1) a series of interactive maps; (2) downloadable geospatial datasets; and (3) decison-support tools, including two maps related to hydrologic resources discussed in this report. The hydrologic-resource maps can be used to examine the potential effects of energy development on hydrologic resources with respect to (1) groundwater vulnerability, by using the depth to water, recharge, aquifer media, soil media, topography, impact of the vadose zone, and hydraulic conductivity of the aquifer (DRASTIC) model, and (2) landscape erosion potential, by using the revised universal soil loss equation (RUSLE). The DRASTIC aquifer vulnerability index value for the two-State area ranges from 48 to 199. Higher values, indicating greater relative aquifer vulnerability, are centered in south-central Colorado, areas in southeastern New Mexico, and along riparian corridors in both States—all areas where the water table is relatively close to the land surface and the aquifer is more susceptible to surface influences. As calculated by the RUSLE model, potential mean annual erosion, as soil loss in units of tons per acre per year, ranges from 0 to 12,576 over the two-State area. The RUSLE model calculated low erosion potential over most of Colorado and New Mexico, with predictions of highest erosion potential largely confined to areas of mountains or escarpments. An example is presented of how a fully interactive RUSLE model could be further used as a decision-support tool to evaluate the potential hydrologic effects of energy development on a site-specific basis and to explore the effectiveness of various mitigation practices.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141158","usgsCitation":"Linard, J.I., Matherne, A.M., Leib, K.J., Carr, N.B., Diffendorfer, J., Hawkins, S.J., Latysh, N., Ignizio, D., and Babel, N.C., 2014, Two decision-support tools for assessing the potential effects of energy development on hydrologic resources as part of the Energy and Environment in the Rocky Mountain Area interactive energy atlas: U.S. Geological Survey Open-File Report 2014-1158, iv, 16 p., https://doi.org/10.3133/ofr20141158.","productDescription":"iv, 16 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-057229","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":293955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141158.jpg"},{"id":293953,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1158/"},{"id":293954,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1158/pdf/ofr2014-1158.pdf"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Colorado;New Mexico","otherGeospatial":"Rocky Mountain Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.00,31.00 ], [ -111.00,41.00 ], [ -102.00,41.00 ], [ -102.00,31.00 ], [ -111.00,31.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5419430de4b091c7ffc8e524","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":498939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":498942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":498943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":498944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":498940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":498945,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Babel, Nils C.","contributorId":42862,"corporation":false,"usgs":true,"family":"Babel","given":"Nils","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":498946,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70112900,"text":"ofr20141106 - 2014 - Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011","interactions":[],"lastModifiedDate":"2014-09-11T15:06:23","indexId":"ofr20141106","displayToPublicDate":"2014-09-11T12:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1106","title":"Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011","docAbstract":"<p>The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The project strategy integrates field and laboratory studies of sturgeon reproductive ecology, early life history, habitat requirements, and physiology. The project scope of work is developed annually with cooperating research partners and in collaboration with the U.S. Army Corps of Engineers, Missouri River Recovery—Integrated Science Program. The research consists of several interdependent and complementary tasks that engage multiple disciplines.</p>\n<br/>\n<p>The research tasks in the 2011 scope of work emphasized understanding of reproductive migrations and spawning of adult sturgeon, and hatch and drift of larvae. These tasks were addressed in three hydrologically and geomorphologically distinct parts of the Missouri River Basin: the Lower Missouri River downstream from Gavins Point Dam, the Upper Missouri River downstream from Fort Peck Dam and including downstream reaches of the Milk River, and the Lower Yellowstone River. The research is designed to inform management decisions related to channel re-engineering, flow modification, and pallid sturgeon population augmentation on the Missouri River, and throughout the range of the species. Research and progress made through this project are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by the Comprehensive Sturgeon Research Project during 2011.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141106","collaboration":"Prepared in cooperation with the Missouri River Recovery–Integrated Science Program, U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Chojnacki, K.A., Annis, M., Braaten, P., Elliott, C.M., Fuller, D.B., Haas, J.D., Haddix, T.M., Ladd, H.L., McElroy, B.J., Mestl, G.E., Papoulias, D.M., Rhoten, J.C., and Wildhaber, M.L., 2014, Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River: annual report 2011: U.S. Geological Survey Open-File Report 2014-1106, xi, 96 p., https://doi.org/10.3133/ofr20141106.","productDescription":"xi, 96 p.","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-043483","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":293715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141106.jpg"},{"id":293714,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1106/pdf/ofr14-1106.pdf"},{"id":293713,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1106/"}],"scale":"2000000","projection":"Albers Equal Area projection","country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.00,35.00 ], [ -115.00,49.00 ], [ -90.00,49.00 ], [ -90.00,35.00 ], [ -115.00,35.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ce4b0239f1986b9e1","contributors":{"authors":[{"text":"DeLonay, Aaron J.","contributorId":53360,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Annis, Mandy L.","contributorId":41575,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy L.","affiliations":[],"preferred":false,"id":494889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braaten, P. J. pbraaten@usgs.gov","contributorId":2724,"corporation":false,"usgs":true,"family":"Braaten","given":"P. J.","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":494886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, D. B.","contributorId":58196,"corporation":false,"usgs":true,"family":"Fuller","given":"D.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":494892,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haas, Justin D.","contributorId":92123,"corporation":false,"usgs":true,"family":"Haas","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":494896,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haddix, Tyler M.","contributorId":72315,"corporation":false,"usgs":true,"family":"Haddix","given":"Tyler","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494894,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ladd, Hallie L.A.","contributorId":81817,"corporation":false,"usgs":true,"family":"Ladd","given":"Hallie","email":"","middleInitial":"L.A.","affiliations":[],"preferred":false,"id":494895,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McElroy, Brandon J.","contributorId":58197,"corporation":false,"usgs":true,"family":"McElroy","given":"Brandon","email":"","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":494893,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mestl, Gerald E.","contributorId":49336,"corporation":false,"usgs":true,"family":"Mestl","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":494890,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494887,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rhoten, Jason C.","contributorId":7633,"corporation":false,"usgs":false,"family":"Rhoten","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":494888,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":494883,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70123972,"text":"70123972 - 2014 - Lacustrine responses to decreasing wet mercury deposition rates: results from a case study in northern Minnesota","interactions":[],"lastModifiedDate":"2018-09-18T16:27:34","indexId":"70123972","displayToPublicDate":"2014-09-10T10:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Lacustrine responses to decreasing wet mercury deposition rates: results from a case study in northern Minnesota","docAbstract":"We present a case study comparing metrics of methylmercury (MeHg) contamination for four undeveloped lakes in Voyageurs National Park to wet atmospheric deposition of mercury (Hg), sulfate (SO<sub>4</sub><sup>–2</sup>), and hydrogen ion (H<sup>+</sup>) in northern Minnesota. Annual wet Hg, SO<sub>4</sub><sup>–2</sup>, and H<sup>+</sup> deposition rates at two nearby precipitation monitoring sites indicate considerable decreases from 1998 to 2012 (mean decreases of 32, 48, and 66%, respectively). Consistent with decreases in the atmospheric pollutants, epilimnetic aqueous methylmercury (MeHg<sub>aq</sub>) and mercury in small yellow perch (Hg<sub>fish</sub>) decreased in two of four lakes (mean decreases of 46.5% and 34.5%, respectively, between 2001 and 2012). Counter to decreases in the atmospheric pollutants, MeHg<sub>aq</sub> increased by 85% in a third lake, whereas Hg<sub>fish</sub> increased by 80%. The fourth lake had two disturbances in its watershed during the study period (forest fire; changes in shoreline inundation due to beaver activity); this lake lacked overall trends in MeHg<sub>aq</sub> and Hg<sub>fish</sub>. The diverging responses among the study lakes exemplify the complexity of ecosystem responses to decreased loads of atmospheric pollutants.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es500301a","usgsCitation":"Brigham, M.E., Sandheinrich, M.B., Gay, D., Maki, R., Krabbenhoft, D.P., and Wiener, J.G., 2014, Lacustrine responses to decreasing wet mercury deposition rates: results from a case study in northern Minnesota: Environmental Science & Technology, v. 48, no. 11, p. 6115-6123, https://doi.org/10.1021/es500301a.","productDescription":"9 p.","startPage":"6115","endPage":"6123","ipdsId":"IP-051280","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es500301a","text":"Publisher Index Page"},{"id":293591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es500301a"},{"id":293596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.203689,48.299689 ], [ -93.203689,48.631628 ], [ -92.453285,48.631628 ], [ -92.453285,48.299689 ], [ -93.203689,48.299689 ] ] ] } } ] }","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"541157b4e4b0fe7e184a553d","chorus":{"doi":"10.1021/es500301a","url":"http://dx.doi.org/10.1021/es500301a","publisher":"American Chemical Society (ACS)","authors":"Brigham Mark E., Sandheinrich Mark B., Gay David A., Maki Ryan P., Krabbenhoft David P., Wiener James G.","journalName":"Environmental Science & Technology","publicationDate":"6/3/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"6/3/2014"},"contributors":{"authors":[{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandheinrich, Mark B.","contributorId":86736,"corporation":false,"usgs":true,"family":"Sandheinrich","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":500486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":500485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":500488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiener, James G.","contributorId":93853,"corporation":false,"usgs":false,"family":"Wiener","given":"James","email":"","middleInitial":"G.","affiliations":[{"id":17913,"text":"River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":500487,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70126398,"text":"70126398 - 2014 - Size-dependent reactivity of magnetite nanoparticles: a field-laboratory comparison","interactions":[],"lastModifiedDate":"2018-09-04T16:35:18","indexId":"70126398","displayToPublicDate":"2014-09-09T10:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Size-dependent reactivity of magnetite nanoparticles: a field-laboratory comparison","docAbstract":"Logistic challenges make direct comparisons between laboratory- and field-based investigations into the size-dependent reactivity of nanomaterials difficult. This investigation sought to compare the size-dependent reactivity of nanoparticles in a field setting to a laboratory analog using the specific example of magnetite dissolution. Synthetic magnetite nanoparticles of three size intervals, ∼6 nm, ∼44 nm, and ∼90 nm were emplaced in the subsurface of the USGS research site at the Norman Landfill for up to 30 days using custom-made subsurface nanoparticle holders. Laboratory analog dissolution experiments were conducted using synthetic groundwater. Reaction products were analyzed via TEM and SEM and compared to initial particle characterizations. Field results indicated that an organic coating developed on the particle surfaces largely inhibiting reactivity. Limited dissolution occurred, with the amount of dissolution decreasing as particle size decreased. Conversely, the laboratory analogs without organics revealed greater dissolution of the smaller particles. These results showed that the presence of dissolved organics led to a nearly complete reversal in the size-dependent reactivity trends displayed between the field and laboratory experiments indicating that size-dependent trends observed in laboratory investigations may not be relevant in organic-rich natural systems.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es500172p","usgsCitation":"Swindle, A.L., Elwood Madden, A.S., Cozzarelli, I.M., and Benamara, M., 2014, Size-dependent reactivity of magnetite nanoparticles: a field-laboratory comparison: Environmental Science & Technology, v. 48, no. 19, p. 11413-11420, https://doi.org/10.1021/es500172p.","productDescription":"8 p.","startPage":"11413","endPage":"11420","numberOfPages":"8","ipdsId":"IP-058257","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":294296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294261,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es500172p"}],"volume":"48","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-09-22","publicationStatus":"PW","scienceBaseUri":"5422bb32e4b08312ac7cf0d9","chorus":{"doi":"10.1021/es500172p","url":"http://dx.doi.org/10.1021/es500172p","publisher":"American Chemical Society (ACS)","authors":"Swindle Andrew L., Madden Andrew S. Elwood, Cozzarelli Isabelle M., Benamara Mourad","journalName":"Environmental Science & Technology","publicationDate":"10/7/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Swindle, Andrew L.","contributorId":41759,"corporation":false,"usgs":true,"family":"Swindle","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":501992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elwood Madden, Andrew S.","contributorId":42150,"corporation":false,"usgs":true,"family":"Elwood Madden","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":501991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benamara, Mourad","contributorId":52506,"corporation":false,"usgs":true,"family":"Benamara","given":"Mourad","email":"","affiliations":[],"preferred":false,"id":501994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70120245,"text":"ofr20141173 - 2014 - Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014","interactions":[],"lastModifiedDate":"2014-09-09T16:13:46","indexId":"ofr20141173","displayToPublicDate":"2014-09-09T08:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1173","title":"Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014","docAbstract":"Kaloko-Honokōhau National Historical Park (KAHO) on western Hawaiʻi was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities, including the preservation of a variety of culturally and ecologically significant water resources that are vital to this mission. KAHO water bodies provide habitat for 1 threatened, 11 endangered, and 3 candidate threatened or endangered species. These habitats are sustained by, and in the case of ʻAimakapā Fishpond and the anchialine pools, entirely dependent on, groundwater from the Keauhou aquifer system. Development of inland impounded groundwater in the Keauhou aquifer system may affect the coastal freshwater-lens system on which KAHO depends, if the inland impounded-groundwater and coastal freshwater-lens systems are hydrologically connected. This report documents water-chemistry results from a U.S. Geological Survey study that collected and analyzed water samples from 2012 to 2014 from 25 sites in and near KAHO to investigate potential geochemical indicators in water that might indicate the presence or absence of a hydrologic connection between the inland impounded-groundwater and coastal freshwater-lens systems in the area. Samples were collected under high-tide and low-tide conditions for KAHO sites, and in dry-season and wet-season conditions for all sites. Samples were collected from two ocean sites, two fishponds, three anchialine pools, and three monitoring wells within KAHO. Two additional nearshore wells were sampled on property adjacent to and north of KAHO. Additional samples from the freshwater-lens system were collected from six inland wells located upslope from KAHO, including three production wells. Seven production wells in the inland impounded-groundwater system also were sampled. Water samples were analyzed for major ions, selected trace elements, rare-earth elements, strontium-isotope ratio, and stable isotopes of water. Precipitation samples from five sites were collected roughly along a transect upslope from KAHO. All precipitation samples were analyzed for stable isotopes of water and some precipitation samples were analyzed for rare-earth and selected trace elements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141173","collaboration":"Prepared in cooperation with the Hawaiʻi Commission on Water Resource Management and the National Park Service","usgsCitation":"Tillman, F., Oki, D.S., and Johnson, A.G., 2014, Water-chemistry data collected in and near Kaloko-Honokohau National Historical Park, Hawaii, 2012–2014: U.S. Geological Survey Open-File Report 2014-1173, Report: v, 14 p.; Tables, https://doi.org/10.3133/ofr20141173.","productDescription":"Report: v, 14 p.; Tables","numberOfPages":"24","onlineOnly":"Y","temporalStart":"2012-01-01","temporalEnd":"2014-09-01","ipdsId":"IP-057290","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":293481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141173.jpg"},{"id":293477,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1173/pdf/ofr2014-1173.pdf"},{"id":293478,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1173/downloads/ofr2014-1173_tables.xlsx"},{"id":293469,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1173/"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kaloko-honokohau National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.045925,19.665068 ], [ -156.045925,19.693891 ], [ -156.016629,19.693891 ], [ -156.016629,19.665068 ], [ -156.045925,19.665068 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54100634e4b07ab1cd980825","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":498048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101015,"text":"sir20145065 - 2014 - Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2018-06-08T13:31:38","indexId":"sir20145065","displayToPublicDate":"2014-09-05T12:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5065","title":"Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the Klamath Mountains (KLAM) study unit was investigated as part of the Priority Basin Project of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in Del Norte, Humboldt, Shasta, Siskiyou, Tehama, and Trinity Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory.</p>\n<br/>\n<p>The GAMA Priority Basin Project was designed to provide a spatially unbiased, statistically robust assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality data and explanatory factors for groundwater samples collected in 2010 by the USGS from 39 sites and on water-quality data from the California Department of Public Health (CDPH) water-quality database. The primary aquifer system was defined by the depth intervals of the wells listed in the CDPH water-quality database for the KLAM study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.</p>\n<br/>\n<p>This study included two types of assessments: (1) a <i>status assessment</i>, which characterized the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds, pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements, and (2) an <i>understanding assessment</i>, which evaluated the natural and human factors potentially affecting the groundwater quality. The assessments were intended to characterize the quality of groundwater resources in the primary aquifer system of the KLAM study unit, not the quality of treated drinking water delivered to consumers by water purveyors.</p>\n<br/>\n<p>Relative-concentrations (sample concentrations divided by the health- or aesthetic-based benchmark concentrations) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than (>) 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to (≤) 1.0 indicates a concentration less than or equal to a benchmark. Relative-concentrations of organic constituents were classified as “high” (relative-concentration > 1.0), “moderate” (0.1 < relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.1). For inorganic constituents, the boundary between low and moderate relative-concentration was set at 0.5.</p>\n<br/>\n<p>Aquifer-scale proportion was used in the status assessment as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively.</p>\n<br/>\n<p>The KLAM study unit includes more than 8,800 square miles (mi<sup>2</sup>), but only those areas near the sampling sites, about 920 mi<sup>2</sup>, are included in the areal assessment of the study unit. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. To confirm this methodology, 90 percent confidence intervals were calculated for the grid-based high aquifer-scale proportions and were compared to the spatially weighted results, which were found to be within these confidence intervals in all cases. Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.</p>\n<br/>\n<p>The <i>status assessment</i> showed that inorganic constituents with human-health benchmarks were detected at high relative-concentrations in 2.6 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The high aquifer-scale proportion for inorganic constituents mainly reflected the high aquifer-scale proportions of boron. Inorganic constituents with secondary maximum contaminant levels were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The constituents present at high relative-concentrations included iron and manganese.</p>\n<br/>\n<p>Organic constituents with human-health benchmarks were not detected at high relative-concentrations, but were detected at moderate relative-concentrations in 1.9 percent of the primary aquifer system. The 1.9 percent reflected a spatially weighted moderate aquifer-scale proportion for the gasoline additive methyl tert-butyl ether. Of the 148 organic constituents analyzed, 14 constituents were detected. Only one organic constituent had a detection frequency of greater than 10 percent—the trihalomethane, chloroform.</p>\n<br/>\n<p>The second component of this study, the <i>understanding assessment</i>, identified the natural and human factors that may have affected the groundwater quality in the KLAM study unit by evaluating statistical correlations between water-quality constituents and potential explanatory factors. The potential explanatory factors evaluated were aquifer lithology, land use, hydrologic conditions, depth, groundwater age, and geochemical conditions. Results of the statistical evaluations were used to explain the occurrence and distribution of constituents in the KLAM study unit.</p>\n<br/>\n<p>Groundwater age distribution (modern, mixed, or pre-modern), redox class (oxic, mixed, or anoxic), and dissolved oxygen concentration were the explanatory factors that best explained occurrence patterns of the inorganic constituents. High concentrations of boron were found to be associated with groundwater classified as mixed or pre-modern with respect to groundwater age. Boron was also negatively correlated to dissolved oxygen and positively correlated to specific conductance. Iron and manganese concentrations were strongly associated with low dissolved oxygen concentrations, anoxic and mixed redox classifications, and pre-modern groundwater. Specific conductance concentrations were found to be related to pre-modern groundwater, low dissolved oxygen concentrations, and high pH.</p>\n<br/>\n<p>Chloroform was selected for additional evaluation in the <i>understanding assessment</i> because it was detected in more than 10 percent of wells sampled in the KLAM study unit. Septic tank density was the only explanatory factor that was found to relate to chloroform concentrations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145065","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L., Fram, M.S., and Belitz, K., 2014, Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5065, viii, 58 p., https://doi.org/10.3133/sir20145065.","productDescription":"viii, 58 p.","numberOfPages":"70","ipdsId":"IP-043179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145065.jpg"},{"id":293460,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5065/"},{"id":293461,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5065/pdf/sir2014-5065.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Klamath Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.00,32.00 ], [ -125.00,42.00 ], [ -114.00,42.00 ], [ -114.00,32.00 ], [ -125.00,32.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac032e4b023c1f29d587d","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":492541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123324,"text":"70123324 - 2014 - Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation","interactions":[],"lastModifiedDate":"2018-09-14T16:48:36","indexId":"70123324","displayToPublicDate":"2014-09-04T15:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation","docAbstract":"The physiological condition of juvenile birds can be influenced by multiple ecological stressors, and few studies have concurrently considered the effects of environmental contaminants in combination with ecological attributes that can influence foraging conditions and prey availability. Using three temporally distinct indices of physiological condition, we compared the physiological response of nestling great egrets (<i>Ardea alba</i>) and white ibises (<i>Eudocimus albus</i>) to changing prey availability, hydrology (water depth, recession rate), and mercury exposure in the Florida Everglades. We found that the physiological response of chicks varied between species and among environmental variables. Chick body condition (short-term index) and fecal corticosterone levels (medium-term) were influenced by wetland water depth, prey availability, region, and age, but not by mercury contamination. However, mercury exposure did influence heat shock protein 70 (HSP70) in egret chicks, indicating a longer-term physiological response to contamination. Our results indicate that the physiological condition of egret and ibis chicks were influenced by several environmental stressors, and the time frame of the effect may depend on the specialized foraging behavior of the adults provisioning the chicks.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0106447","usgsCitation":"Herring, G., Eagles-Smith, C.A., Gawlik, D.E., Beerens, J., and Ackerman, J., 2014, Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation: PLoS ONE, v. 9, no. 9, 10 p., https://doi.org/10.1371/journal.pone.0106447.","productDescription":"10 p.","ipdsId":"IP-056103","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0106447","text":"Publisher Index Page"},{"id":293428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293341,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0106447"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.46309,26.471496 ], [ -80.46309,26.527636 ], [ -80.208971,26.527636 ], [ -80.208971,26.471496 ], [ -80.46309,26.471496 ] ] ] } } ] }","volume":"9","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-03","publicationStatus":"PW","scienceBaseUri":"542a66b5e4b01535cb427298","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":500016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":500015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":500018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":500017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118930,"text":"fs20143067 - 2014 - Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-05-13T15:53:00","indexId":"fs20143067","displayToPublicDate":"2014-09-04T09:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3067","title":"Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts","docAbstract":"<p>Groundwater is the sole source of drinking water and a major source of freshwater for domestic, industrial, and agricultural uses on Cape Cod, Massachusetts. Groundwater discharged from aquifers also supports freshwater pond and stream ecosystems and coastal wetlands. Six hydraulically distinct groundwater-flow systems (lenses) have been delineated on Cape Cod. Of the approximately 450 million gallons per day of water that enters these lenses as recharge from precipitation, about 69 percent discharges directly to the coast, about 24 percent discharges to streams, and almost 7 percent is withdrawn by public-supply wells. In most areas, groundwater in the sand and gravel aquifers is shallow and susceptible to contamination from anthropogenic sources and saltwater intrusion. Continued land development and population growth on Cape Cod have created concerns that potable water will become less available and that the quantity and quality of water flowing to natural discharge areas such as ponds, streams, and coastal waters will continue to decline.</p>\n<br/>\n<p>The U.S. Geological Survey (USGS) has been investigating groundwater and surface-water resources on Cape Cod for more than 50 years. Recent studies highlighted in this fact sheet have focused on the sources of water to public-supply wells, ponds, streams, and coastal areas; the transport and discharge of nitrogen derived from domestic and municipal disposal of wastewater; and the effects of climate change on groundwater and surface-water resources. Other USGS activities include long-term monitoring of groundwater and pond levels and field research on groundwater contamination at the USGS Cape Cod Toxic Substances Hydrology Research Site (<a href=\"http://ma.water.usgs.gov/MMRCape/\" target=\"_blank\">http://ma.water.usgs.gov/MMRCape/</a>) near the Joint Base Cape Cod (JBCC), formerly the Massachusetts Military Reservation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143067","collaboration":"This fact sheet was prepared with support  from the Toxic Substances Hydrology and  Groundwater Resources Programs of the  U.S. Geological Survey.","usgsCitation":"Barbaro, J.R., Masterson, J., and LeBlanc, D.R., 2014, Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts: U.S. Geological Survey Fact Sheet 2014-3067, 6 p., https://doi.org/10.3133/fs20143067.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-057579","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":293356,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3067/"},{"id":293358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143067.jpg"},{"id":293357,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3067/pdf/fs2014-3067.pdf"}],"country":"United States","state":"Massachusetts","city":"Cape Cod","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,41.50 ], [ -70.25,42.15 ], [ -70.00,42.15 ], [ -70.00,41.50 ], [ -70.25,41.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66b8e4b01535cb4272b5","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70124278,"text":"70124278 - 2014 - Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors","interactions":[],"lastModifiedDate":"2014-09-11T13:13:11","indexId":"70124278","displayToPublicDate":"2014-09-01T13:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors","docAbstract":"Downscaling Global Climate Model (GCM) projections of future climate is critical for impact studies. Downscaling enables use of GCM experiments for regional scale impact studies by generating regionally specific forecasts connecting global scale predictions and regional scale dynamics. We employed the Statistical Downscaling Model (SDSM) to downscale 21st century precipitation for two data-sparse hydrologically challenging river basins in South Asia—the Ganges and the Brahmaputra. We used CGCM3.1 by Canadian Center for Climate Modeling and Analysis version 3.1 predictors in downscaling the precipitation. Downscaling was performed on the basis of established relationships between historical Global Summary of Day observed precipitation records from 43 stations and National Center for Environmental Prediction re-analysis large scale atmospheric predictors. Although the selection of predictors was challenging during the set-up of SDSM, they were found to be indicative of important physical forcings in the basins. The precipitation of both basins was largely influenced by geopotential height: the Ganges precipitation was modulated by the U component of the wind and specific humidity at 500 and 1000 h Pa pressure levels; whereas, the Brahmaputra precipitation was modulated by the V component of the wind at 850 and 1000 h Pa pressure levels. The evaluation of the SDSM performance indicated that model accuracy for reproducing precipitation at the monthly scale was acceptable, but at the daily scale the model inadequately simulated some daily extreme precipitation events. Therefore, while the downscaled precipitation may not be the suitable input to analyze future extreme flooding or drought events, it could be adequate for analysis of future freshwater availability. Analysis of the CGCM3.1 downscaled precipitation projection with respect to observed precipitation reveals that the precipitation regime in each basin may be significantly impacted by climate change. Precipitation during and after the monsoon is likely to increase in both basins under the A1B and A2 emission scenarios; whereas, the pre-monsoon precipitation is likely to decrease. Peak monsoon precipitation is likely to shift from July to August, and may impact the livelihoods of large rural populations linked to subsistence agriculture in the basins. Uncertainty analysis of the downscaled precipitation indicated that the uncertainty in the downscaled precipitation was less than the uncertainty in the original CGCM3.1 precipitation; hence, the CGCM3.1 downscaled precipitation was a better input for the regional hydrological impact studies. However, downscaled precipitation from multiple GCMs is suggested for comprehensive impact studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.016","usgsCitation":"Pervez, M., and Henebry, G., 2014, Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors: Journal of Hydrology, v. 517, p. 120-134, https://doi.org/10.1016/j.jhydrol.2014.05.016.","productDescription":"15 p.","startPage":"120","endPage":"134","numberOfPages":"15","ipdsId":"IP-049180","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2014.05.016","text":"Publisher Index Page"},{"id":293736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293735,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.05.016"}],"country":"Bangladesh;China;India","otherGeospatial":"Brahmaputra;Ganges","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,25.0 ], [ 75.0,30.0 ], [ 95.0,30.0 ], [ 95.0,25.0 ], [ 75.0,25.0 ] ] ] } } ] }","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9b7e4b0239f1986bad5","contributors":{"authors":[{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":500642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henebry, Geoffrey M.","contributorId":48114,"corporation":false,"usgs":true,"family":"Henebry","given":"Geoffrey M.","affiliations":[],"preferred":false,"id":500641,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148177,"text":"70148177 - 2014 - Multiscale habitat selection of wetland birds in the northern Gulf Coast","interactions":[],"lastModifiedDate":"2015-05-26T11:05:30","indexId":"70148177","displayToPublicDate":"2014-09-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale habitat selection of wetland birds in the northern Gulf Coast","docAbstract":"<p>The spatial scale of habitat selection has become a prominent concept in ecology, but has received less attention in coastal ecology. In coastal marshes, broad-scale marsh types are defined by vegetation composition over thousands of hectares, water-level management is applied over hundreds of hectares, and fine-scale habitat is depicted by tens of meters. Individually, these scales are known to affect wetland fauna, but studies have not examined all three spatial scales simultaneously. We investigated wetland bird habitat selection at the three scales and compared single- and multiscale models. From 2009 to 2011, we surveyed marsh birds (i.e., Rallidae, bitterns, grebes), shorebirds, and wading birds in fresh and intermediate (oligohaline) coastal marsh in Louisiana and Texas, USA. Within each year, six repeated surveys of wintering, resident, and migratory breeding birds were conducted at &gt; 100 points (<i>n</i> = 304). The results revealed fine-scale factors, primarily water depth, were consistently better predictors than marsh type or management. However, 10 of 11 species had improved models with the three scales combined. Birds with a linear association with water depth were, correspondingly, most abundant with deeper fresh marsh and permanently impounded water. Conversely, intermediate marsh had a greater abundance of shallow water species, such as king rail Rallus elegans, least bittern Ixobrychus exilis, and sora Porzana carolina. These birds had quadratic relationships with water depth or no relationship. Overall, coastal birds were influenced by multiple scales corresponding with hydrological characteristics. The effects suggest the timing of drawdowns and interannual variability in spring water levels can greatly affect wetland bird abundance.</p>","language":"English","publisher":"Estuarine Research Federation","publisherLocation":"Port Republic, MD","doi":"10.1007/s12237-013-9757-2","collaboration":"US Geological Survey; US Fish and Wildlife Service; Gulf Coast Joint Venture; Louisiana State University","usgsCitation":"Pickens, B.A., and King, S.L., 2014, Multiscale habitat selection of wetland birds in the northern Gulf Coast: Estuaries and Coasts, v. 37, no. 5, p. 1301-1311, https://doi.org/10.1007/s12237-013-9757-2.","productDescription":"11 p.","startPage":"1301","endPage":"1311","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050159","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"5565994de4b0d9246a9eb633","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70126406,"text":"70126406 - 2014 - Temporal changes in taxonomic and functional diversity of fish assemblages downstream from mountaintop mining","interactions":[],"lastModifiedDate":"2014-09-23T10:02:53","indexId":"70126406","displayToPublicDate":"2014-09-01T09:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Temporal changes in taxonomic and functional diversity of fish assemblages downstream from mountaintop mining","docAbstract":"Mountaintop mining (MTM) affects chemical, physical, and hydrological properties of receiving streams, but the long-term consequences for fish-assemblage structure and function are poorly understood. We sampled stream fish assemblages using electrofishing techniques in MTM exposure sites and reference sites within the Guyandotte River basin, USA, during 2010–2011. We calculated indices of taxonomic diversity (species richness, abundance, Shannon diversity) and functional diversity (functional richness, functional evenness, functional divergence) to compare exposure and reference assemblages between seasons (spring and autumn) and across years (1999–2011). We based temporal comparisons on 2 sites that were sampled during 1999–2001 by Stauffer and Ferreri (2002). Exposure assemblages had lower taxonomic and functional diversity than reference assemblages or simulated assemblages that accounted for random variation. Differences in taxonomic composition between reference and exposure assemblages were associated with conductivity and aqueous Se concentrations. Exposure assemblages had fewer species, lower abundances, and less biomass than reference assemblages across years and seasons. Green Sunfish (<i>Lepomis cyanellus</i>) and Creek Chub (<i>Semotilus atromaculatus</i>) became numerically dominant in exposure assemblages over time because of their persistence and losses of other taxa. In contrast, species richness increased over time in reference assemblages, a result that may indicate recovery from drought. Mean individual biomass increased as fish density decreased and most obligate invertivores were apparently extirpated at MTM exposure sites. Effects of MTM were not related to physical-habitat conditions but were associated with water-quality variables, which may limit quality and availability of benthic macroinvertebrate prey. Simulations revealed effects of MTM that could not be attributed to random variation in fish assemblage structure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1086/676997","usgsCitation":"Hitt, N.P., and Chambers, D., 2014, Temporal changes in taxonomic and functional diversity of fish assemblages downstream from mountaintop mining: Freshwater Science, v. 33, no. 3, p. 915-926, https://doi.org/10.1086/676997.","productDescription":"12 p.","startPage":"915","endPage":"926","numberOfPages":"12","ipdsId":"IP-049606","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472789,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1086/676997","text":"External Repository"},{"id":294294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294293,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/676997"}],"country":"United States","state":"West Virginia","otherGeospatial":"Guyandotte River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.217,37.7747 ], [ -82.217,38.3293 ], [ -81.5497,38.3293 ], [ -81.5497,37.7747 ], [ -82.217,37.7747 ] ] ] } } ] }","volume":"33","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb33e4b08312ac7cf0e5","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":502017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":2520,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas B.","email":"dbchambe@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135339,"text":"70135339 - 2014 - Educational webtool illustrating groundwater age effects on contaminant trends in wells","interactions":[],"lastModifiedDate":"2018-09-18T16:04:07","indexId":"70135339","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Educational webtool illustrating groundwater age effects on contaminant trends in wells","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12261","usgsCitation":"Böhlke, J., Jurgens, B., Uselmann, D.J., and Eberts, S., 2014, Educational webtool illustrating groundwater age effects on contaminant trends in wells: Groundwater, v. 52, no. S1, p. 8-9, https://doi.org/10.1111/gwat.12261.","productDescription":"2 p.","startPage":"8","endPage":"9","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057995","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12261","text":"Publisher Index Page"},{"id":296641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-08-28","publicationStatus":"PW","scienceBaseUri":"548c1fcde4b0ca8c43c36962","chorus":{"doi":"10.1111/gwat.12261","url":"http://dx.doi.org/10.1111/gwat.12261","publisher":"Wiley-Blackwell","authors":"Böhlke J.K., Jurgens Bryant C., Uselmann David J., Eberts Sandra M.","journalName":"Groundwater","publicationDate":"8/28/2014","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Böhlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":1285,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":527063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":527064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uselmann, David J.","contributorId":127840,"corporation":false,"usgs":true,"family":"Uselmann","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":527065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":527066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70110904,"text":"sir20145103 - 2014 - Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada","interactions":[],"lastModifiedDate":"2017-09-19T16:22:06","indexId":"sir20145103","displayToPublicDate":"2014-08-27T14:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5103","title":"Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada","docAbstract":"<p>Snake Valley and surrounding areas, along the Utah-Nevada state border, are part of the Great Basin carbonate and alluvial aquifer system. The groundwater system in the study area consists of water in unconsolidated deposits in basins and water in consolidated rock underlying the basins and in the adjacent mountain blocks. Most recharge occurs from precipitation on the mountain blocks and most discharge occurs from the lower altitude basin-fill deposits mainly as evapotranspiration, springflow, and well withdrawals.</p><p>The Snake Valley area regional groundwater system was simulated using a three-dimensional model incorporating both groundwater flow and heat transport. The model was constructed with MODFLOW-2000, a version of the U.S. Geological Survey’s groundwater flow model, and MT3DMS, a transport model that simulates advection, dispersion, and chemical reactions of solutes or heat in groundwater systems. Observations of groundwater discharge by evapotranspiration, springflow, mountain stream base flow, and well withdrawals; groundwater-level altitudes; and groundwater temperatures were used to calibrate the model. Parameter values estimated by regression analyses were reasonable and within the range of expected values.</p><p>This study represents one of the first regional modeling efforts to include calibration to groundwater temperature data. The inclusion of temperature observations reduced parameter uncertainty, in some cases quite significantly, over using just water-level altitude and discharge observations. Of the 39 parameters used to simulate horizontal hydraulic conductivity, uncertainty on 11 of these parameters was reduced to one order of magnitude or less. Other significant reductions in parameter uncertainty occurred in parameters representing the vertical anisotropy ratio, drain and river conductance, recharge rates, and well withdrawal rates.</p><p>The model provides a good representation of the groundwater system. Simulated water-level altitudes range over almost 2,000 meters (m); 98 percent of the simulated values of water-level altitudes in wells are within 30 m of observed water-level altitudes, and 58 percent of them are within 12 m. Nineteen of 20 simulated discharges are within 30 percent of observed discharge. Eighty-one percent of the simulated values of groundwater temperatures in wells are within 2 degrees Celsius (°C) of the observed values, and 55 percent of them are within 0.75 °C. The numerical model represents a more robust quantification of groundwater budget components than previous studies because the model integrates all components of the groundwater budget. The model also incorporates new data including (1) a detailed hydrogeologic framework, and (2) more observations, including several new water-level altitudes throughout the study area, several new measurements of spring discharge within Snake Valley which had not previously been monitored, and groundwater temperature data. Uncertainty in the estimates of subsurface flow are less than those of previous studies because the model balanced recharge and discharge across the entire simulated area, not just in each hydrographic area, and because of the large dataset of observations (water-level altitudes, discharge, and temperatures) used to calibrate the model and the resulting transmissivity distribution.</p><p>Groundwater recharge from precipitation and unconsumed irrigation in Snake Valley is 160,000 acre-feet per year (acre-ft/yr), which is within the range of previous estimates. Subsurface inflow from southern Spring Valley to southern Snake Valley is 13,000 acre-ft/yr and is within the range of previous estimates; subsurface inflow from Spring Valley to Snake Valley north of the Snake Range, however, is only 2,200 acre-ft/yr, which is much less than has been previously estimated. Groundwater discharge from groundwater evapotranspiration and springs is 100,000 acre-ft/yr, and discharge to mountain streams is 3,300 acre-ft/yr; these are within the range of previous estimates. Current well withdrawals are 28,000 acre-ft/yr. Subsurface outflow from Snake Valley moves into Pine Valley (2,000 acre-ft/yr), Wah Wah Valley (23 acre-ft/yr), Tule Valley (33,000 acre-ft/yr), Fish Springs Flat (790 acre-ft/yr), and outside of the study area towards Great Salt Lake Desert (8,400 acre-ft/yr); these outflows, totaling about 44,000 acre-ft/yr, are within the range of previous estimates.</p><p>The subsurface flow amounts indicate the degree of connectivity between hydrographic areas within the study area. The simulated transmissivity and locations of natural discharge, however, provide a better estimate of the effect of groundwater withdrawals on groundwater resources than does the amount and direction of subsurface flow between hydrographic areas. The distribution of simulated transmissivity throughout the study area includes many areas of high transmissivity within and between hydrographic areas. Increased well withdrawals within these high transmissivity areas will likely affect a large part of the study area, resulting in declining groundwater levels, as well as leading to a decrease in natural discharge to springs and evapotranspiration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145103","collaboration":"Prepared in cooperation with Juab, Millard, Salt Lake, Tooele, and Utah Counties","usgsCitation":"Masbruch, M.D., Gardner, P.M., and Brooks, L.E., 2014, Hydrology and numerical simulation of groundwater movement and heat transport in Snake Valley and surrounding areas, Juab, Miller, and Beaver Counties, Utah, and White Pine and Lincoln Counties, Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5103, x, 107 p., https://doi.org/10.3133/sir20145103.","productDescription":"x, 107 p.","numberOfPages":"122","onlineOnly":"Y","ipdsId":"IP-042407","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":293136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145103.jpg"},{"id":293135,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5103/pdf/sir2014-5103.pdf"},{"id":293134,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5103/"}],"country":"United States","state":"Nevada, Utah","county":"Beaver County, Juab County, Lincoln County, Millard County, White Pine County","otherGeospatial":"Snake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.9,36.98 ], [ -115.9,40.24 ], [ -110.05,40.24 ], [ -110.05,36.98 ], [ -115.9,36.98 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fee2afe4b01f35f8fd1390","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70121632,"text":"ofr20141178 - 2014 - Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","interactions":[],"lastModifiedDate":"2014-08-25T14:19:27","indexId":"ofr20141178","displayToPublicDate":"2014-08-25T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1178","title":"Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","docAbstract":"<p>Landscape Conservation Cooperatives (LCCs) are a network of 22 public-private partnerships, defined by ecoregion, that share and provide science to ensure the sustainability of land, water, wildlife, and cultural resources in North America. LCCs were established by the U.S. Department of the Interior (DOI) in recognition of the fact that response to climate change must be coordinated on a landscape-level basis because important resources, ecosystem processes, and resource management challenges extend beyond most of the boundaries considered in current natural resource management.</p>\n<br>\n<p>The North Pacific LCC (NPLCC) covers the range of the Pacific coastal temperate rainforest, including an area of 528,360 km<sup>2</sup> spanning 22 degrees of latitude from the Kenai Peninsula, Alaska, to Bodega Bay, California. The coverage area includes parts of four States, two Canadian provinces, and more than 100 Tribes and First Nation language groups. It extends from alpine areas at the crest of coastal mountains across subalpine, montane, and lowland forests to the nearshore marine environment. This wide range of latitudes and elevation zones; terrestrial, freshwater, and marine habitats; and complex jurisdictional boundaries hosts a diversity of natural resources and their corresponding management issues are equally diverse.</p>\n<br>\n<p>As evidenced by the Science and Traditional Ecological Knowledge (S-TEK) Strategy guiding principles, identifying and responding to the needs of resource managers is key to the success of the NPLCC. To help achieve this goal of the NPLCC, the U.S. Geological Survey (USGS) has organized several workshops with resource managers and resource scientists to identify management information needs relevant to the priority topics identified in the S-TEK Strategy. Here, we detail the results from a first workshop to address the effects of changes in hydrologic regime on rivers, streams, and riparian corridors. The workshop focused on a subset of the full NPLCC geography and was structured to answer the following questions:</p>\n<br>\n<p>What are the valued resources and services that may be affected by hydrologic regime changes in the region?</p>\n<p>What are the management goals for those resources?</p>\n<p>How is climate change anticipated to affect valued resources and goals?</p>\n<p>What adaptation strategies may managers use in response to anticipated changes in resources due to climate-related hydrologic change?</p>\n<p>What information is needed to inform and use management responses?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141178","collaboration":"Prepared in cooperation with the North Pacific Landscape Conservation Cooperative.","usgsCitation":"Woodward, A., and Jenni, K., 2014, Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation: U.S. Geological Survey Open-File Report 2014-1178, iv, 28 p., https://doi.org/10.3133/ofr20141178.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-058025","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":292988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141178.PNG"},{"id":292986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1178/"},{"id":292987,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1178/pdf/ofr2014-1178.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.0879,38.295711 ], [ -152.0879,60.92 ], [ -122.986329,60.92 ], [ -122.986329,38.295711 ], [ -152.0879,38.295711 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb4e4b0413fd75d298e","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":499238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen","contributorId":101520,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[],"preferred":false,"id":499239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121391,"text":"70121391 - 2014 - Simulating water-quality trends in public-supply wells in transient flow systems","interactions":[],"lastModifiedDate":"2014-10-01T11:46:51","indexId":"70121391","displayToPublicDate":"2014-08-21T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water-quality trends in public-supply wells in transient flow systems","docAbstract":"Models need not be complex to be useful. An existing groundwater-flow model of Salt Lake Valley, Utah, was adapted for use with convolution-based advective particle tracking to explain broad spatial trends in dissolved solids. This model supports the hypothesis that water produced from wells is increasingly younger with higher proportions of surface sources as pumping changes in the basin over time. At individual wells, however, predicting specific water-quality changes remains challenging. The influence of pumping-induced transient groundwater flow on changes in mean age and source areas is significant. Mean age and source areas were mapped across the model domain to extend the results from observation wells to the entire aquifer to see where changes in concentrations of dissolved solids are expected to occur. The timing of these changes depends on accurate estimates of groundwater velocity. Calibration to tritium concentrations was used to estimate effective porosity and improve correlation between source area changes, age changes, and measured dissolved solids trends. Uncertainty in the model is due in part to spatial and temporal variations in tracer inputs, estimated tracer transport parameters, and in pumping stresses at sampling points. For tracers such as tritium, the presence of two-limbed input curves can be problematic because a single concentration can be associated with multiple disparate travel times. These shortcomings can be ameliorated by adding hydrologic and geologic detail to the model and by adding additional calibration data. However, the Salt Lake Valley model is useful even without such small-scale detail.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12230","usgsCitation":"Starn, J.J., Green, C.T., Hinkle, S.R., Bagtzoglou, A., and Stolp, B.J., 2014, Simulating water-quality trends in public-supply wells in transient flow systems: Ground Water, v. 52, no. S1, p. 53-62, https://doi.org/10.1111/gwat.12230.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-037946","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":472815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12230","text":"Publisher Index Page"},{"id":292789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292780,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12230"}],"country":"United States","state":"Utah","otherGeospatial":"Salt Lake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40.25 ], [ -112.25,40.916667 ], [ -111.75,40.916667 ], [ -111.75,40.25 ], [ -112.25,40.25 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"53f6f9b7e4b05ec1f24290e0","chorus":{"doi":"10.1111/gwat.12230","url":"http://dx.doi.org/10.1111/gwat.12230","publisher":"Wiley-Blackwell","authors":"Jeffrey Starn J., Green Christopher T., Hinkle Stephen R., Bagtzoglou Amvrossios C., Stolp Bernard J.","journalName":"Groundwater","publicationDate":"7/12/2014","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":499021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":499019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios C.","contributorId":30146,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios C.","affiliations":[],"preferred":false,"id":499020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121240,"text":"70121240 - 2014 - Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","interactions":[],"lastModifiedDate":"2018-01-04T10:53:20","indexId":"70121240","displayToPublicDate":"2014-08-21T11:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","docAbstract":"<p>The important ecosystem functions wetlands perform are influenced by land-use changes in their surrounding uplands and thus, identifying the upland area that flows into a wetland is important. We provide a method to define wetland catchments as the portion of the landscape that flows into a wetland; we allowed catchments to be nested and include other wetlands and their catchments, forming a hydrologic wetland complex. We generated catchments using multiple sources and resolutions of digital elevation data to evaluate whether catchment sizes generated from those data were similar. While non-contributing areas, or sinks, differed between elevation data sets, catchment areas were similar among high-resolution LiDAR- and IfSAR-derived data and readily available lower resolution data from the National Elevation Dataset. Accordingly, the higher-resolution DEM data, which may be expensive or not available, will not likely yield more accurate wetland catchment boundaries in flat or glaciated landscapes. We contend that this method to generate wetland catchments can be used to improve wetland studies where the location of a wetland within a catchment is important. Furthermore, the size of the catchment is important for understanding how wetlands respond to climate, land-use practices, and contamination.</p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-014-0571-9","usgsCitation":"McCauley, L.A., and Anteau, M.J., 2014, Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands: Wetlands, v. 34, no. 6, p. 1123-1132, https://doi.org/10.1007/s13157-014-0571-9.","productDescription":"10 p.","startPage":"1123","endPage":"1132","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052286","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-014-0571-9"}],"country":"United States","state":"North Dakota","county":"Barnes County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.468,46.6299 ], [ -98.468,47.2413 ], [ -97.6815,47.2413 ], [ -97.6815,46.6299 ], [ -98.468,46.6299 ] ] ] } } ] }","volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-08-16","publicationStatus":"PW","scienceBaseUri":"53f6f9b3e4b05ec1f24290ca","contributors":{"authors":[{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":498847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":498846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70116612,"text":"sir20145134 - 2014 - Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","interactions":[],"lastModifiedDate":"2020-02-26T17:48:07","indexId":"sir20145134","displayToPublicDate":"2014-08-21T08:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5134","title":"Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","docAbstract":"<p>The Osage Nation of northeastern Oklahoma, conterminous with Osage County, is characterized by gently rolling uplands and incised stream valleys that have downcut into underlying sedimentary rock units of Pennsylvanian through Permian age. Cattle ranching and petroleum and natural-gas extraction are the principal land uses in this rural area. Freshwater resources in the Osage Nation include water flowing in the Arkansas River and several smaller streams, water stored in several lakes, and groundwater contained in unconsolidated alluvial aquifers and bedrock aquifers. The Vamoosa-Ada aquifer is the primary source of fresh groundwater in this area. Fresh groundwater is underlain by saline groundwater in aquifers underlying the Osage Nation. Because of the potential for future population increases, demands for water from neighboring areas such as the Tulsa metropolitan area, and expansion of petroleum and natural-gas extraction on water resources of this area, the U.S. Geological Survey, in cooperation with the Osage Nation, summarized existing hydrologic data and identified data gaps to provide information for planning of future development of water resources in the Osage Nation.</p>\n<br/>\n<p>Streamflows in the Osage Nation are substantially affected by precipitation. During the relatively wet periods from the 1970s to 2000, the annual streamflows in the Osage Nation increased by as much as a factor of 2 relative to preceding decades, with subsequent decreases in streamflow of as much as 50 percent being recorded during intermittent drier years of the early 2000s. This report summarizes hydrologic data from 3 surface-water sites and 91 wells distributed across the Osage Nation. Data collected at those sites indicate that surface water in the Osage Nation generally has sufficient dissolved oxygen for survival of both coldwater and warmwater aquatic biota. Total dissolved solids concentration exceeded the secondary drinking-water standard of 500 milligrams per liter (mg/L) in up to 75 percent of the surface-water samples, indicating limited availability of potable water at some sites. Some surface-water samples collected in the Osage Nation contained dissolved chloride concentrations exceeding the secondary drinking-water standard of 250 mg/L, with greater chloride concentrations in selected basins appearing to be associated with greater densities of petroleum well locations. Several lakes sampled in the Osage Nation from 2011–12 contained sufficient chlorophyll-a concentrations to be ranked as mesotrophic to eutrophic, indicating impairment by nutrients. Relatively large dissolved phosphorus concentrations in many surface-water samples, compared to water-quality standards, indicate that eutrophication can occur in local streams and lakes.</p>\n<br/>\n<p>The amount of fresh groundwater stored in alluvial aquifers and the Vamoosa-Ada bedrock aquifer is adequate for domestic and other purposes in the Osage Nation at the current rate of usage. In areas where these aquifers are absent, groundwater must be pumped from minor bedrock aquifers that produce smaller volumes of water. About 30 and 60 percent of 32 and 54 water samples collected from the alluvial and Vamoosa-Ada aquifers, respectively, contained total dissolved solids concentrations larger than the secondary drinking-water standard of 500 mg/L. Local factors, such as natural seepage of brines or leakage from petroleum and natural-gas extraction activities, may cause substantial variations in dissolved chloride concentration in groundwater in the Osage Nation. Total phosphorus concentrations measured in groundwater samples were similar to dissolved phosphorus concentrations measured in the base flow of several streams.</p>\n<br/>\n<p>Total fresh surface-water withdrawals (use) and fresh groundwater withdrawals in the Osage Nation were estimated to have increased from 0.75 to 16.19 million gallons per day and from 0.13 to 2.39 million gallons per day, respectively, over the period from 1890 through 2010. Estimated saline-groundwater reinjection volumes at the heavily developed Burbank Oil Field in the Osage Nation from 1950 through 2012 were many times larger than the total amounts of freshwater withdrawn in this area, with estimated increases in saline-groundwater reinjection in the 2000s probably being related to increased petroleum extraction.</p>\n<br/>\n<p>Estimates of freshwater resources in local streams, lakes, and freshwater aquifers and of net annual precipitation indicate that less than 1 percent of freshwater resources and net annual precipitation currently is being withdrawn annually in the Osage Nation. In addition to freshwater resources, the Osage Nation may be underlain by 45,000,000 million gallons of brines, a small portion of which are withdrawn and reinjected during petroleum and natural-gas extraction. Ongoing development of desalinization technology may lead to the ability to expand use of these saline waters in the future.</p>\n<br/>\n<p>Several additional studies could improve understanding of the hydrologic resources of the Osage Nation. Development of computer models (simulations) of groundwater and surface-water flow for this area could enable testing of scenarios of localized and widespread effects of future climate variations and water-use changes on streamflows, lake-water levels, and groundwater levels in the Osage Nation. Installation of additional long-term streamflow and water-quality sampling stations, some with continuous water-quality monitors, could expand and improve understanding of surface-water quality. Periodic measurement of groundwater levels and sampling of water from a network of wells could provide better information about trends of groundwater quantity and quality with time. Measurement of water withdrawals at selected sites could enable more accurate estimates of water use. Lastly, better understanding of aquifer properties and spatial distribution of saline groundwater provided by geophysical surveys could improve understanding of fresh and saline groundwater resources underlying the Osage Nation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145134","collaboration":"Prepared in cooperation with the Osage Nation","usgsCitation":"Andrews, W.J., and Smith, S.J., 2014, Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012: U.S. Geological Survey Scientific Investigations Report 2014-5134, x, 53 p., https://doi.org/10.3133/sir20145134.","productDescription":"x, 53 p.","numberOfPages":"67","onlineOnly":"N","temporalStart":"1890-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-053211","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":292732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145134.jpg"},{"id":292731,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5134/pdf/sir2014-5134.pdf"},{"id":292723,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5134/"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Oklahoma","county":"Osage County","otherGeospatial":"Osage Nation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.0647,36.1609 ], [ -97.0647,36.9994 ], [ -96.0003,36.9994 ], [ -96.0003,36.1609 ], [ -97.0647,36.1609 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b2e4b05ec1f24290c2","contributors":{"authors":[{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70116618,"text":"sir20145102 - 2014 - Hydrogeology and hydrology of the Punta Cabullones wetland area, Ponce, southern Puerto Rico, 2007-08","interactions":[],"lastModifiedDate":"2014-08-20T09:45:38","indexId":"sir20145102","displayToPublicDate":"2014-08-20T09:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5102","title":"Hydrogeology and hydrology of the Punta Cabullones wetland area, Ponce, southern Puerto Rico, 2007-08","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Municipio Autónomo de Ponce and the Puerto Rico Department of Natural and Environmental Resources, conducted a study of the hydrogeology and hydrology of the Punta Cabullones area in Ponce, southern Puerto Rico. (Punta Cabullones is also referred to as Punta Cabullón.) The Punta Cabullones area is about 9 square miles and is an ecological system made up of a wetland, tidal flats, saltflats, mangrove forests, and a small fringing reef located a short distance offshore. The swales or depressions between successive beach ridges became development avenues for saline to hypersaline wetlands. The Punta Cabullones area was designated by the U.S. Fish and Wildlife Service as a coastal barrier in the 1980s because of its capacity to act as a buffer zone to ameliorate the impacts of natural phenomenon such as storm surges. Since 2003, Punta Cabullones has been set aside for preservation as part of the mitigation effort mandated by Federal and State laws to compensate for the potential environmental effects that might be caused by the construction of the Las Américas Transshipment Port.</p>\n<br/>\n<p>Total rainfall measured during 2008 within the Punta Cabullones area was 36 inches, which is slightly greater than the long-term annual average of 32 inches for the coastal plain near Ponce. Two evapotranspiration estimates, 29 and 37 inches, were obtained for the subarea of the Punta Cabullones area that is underlain by fan-delta and alluvial deposits by using two variants of the Penman semi-empirical equation.</p>\n<br/>\n<p>The long-term water stage and chemical character of the wetland in Punta Cabullones are highly dependent on the seasonal and annual variations of both rainfall and sea-wave activity. Also, unseasonal short-term above-normal rainfall and sea-wave events resulting from passing storms may induce substantial changes in the water stage and the chemical character of the wetland. In general, tidal fluctuations exert a minor role in modifying the water quality and stage of the wetland in Punta Cabullones. The role of the tidal fluctuations becomes important during those times when the outlets/inlets to the sea are not blocked by a sand bar and is allowed to freely flow into the wetland interior. The salinity of the wetland varies from brackish to hypersaline. The hypersaline conditions, including the occurrence of saltflats, within the Punta Cabullones wetland area result from a high evapotranspiration rate. The hypersaline conditions are further enhanced by a sand bar that blocks the inlet/outlet of the wetland’s easternmost channel, particularly during the dry season.</p>\n<br/>\n<p>Groundwater in Punta Cabullones mostly is present within beds of silisiclastic sand and gravel. During the study period, the depth to groundwater did not exceed 4 feet below land surface. The movement and direction of the groundwater flow in Punta Cabullones are driven by density variations that in turn result from the wide range of salinities in the groundwater. The salinity of the groundwater decreases within the first 60 to 100 feet of depth and decreases outward from a mound of hypersaline groundwater centered on piezometer nest PN2. The main groundwater types within the Punta Cabullones area vary from calcium-bicarbonate type in the northernmost part of the study area to a predominantly sodium-potassium-chloride groundwater type southward. According to stable-isotope data, groundwater within the study area is both modern meteoric water and seawater highly affected by evaporation. The chemical and stable-isotopic character of local groundwater is highly influenced by evapotranspiration because of its shallow depth.</p>\n<br/>\n<p>Equivalent freshwater heads indicate groundwater moves away from a mound centered on piezometer nest PN2, in a pattern similar to the spatial distribution of groundwater salinity. Vertical groundwater flow occurs in Punta Cabullones due to local differences in density. In the wetland subarea of Punta Cabullones, groundwater and surface water are hydraulically coupled. Locally, surface-hypersaline water sinks into the aquifer, providing recharge and serving as a mechanism to redistribute salt throughout the study area. The evapotranspiration in the wetland subarea is estimated at about 11 million gallons per day (Mgal/d) that is equivalent to about 12,586 acre-feet per year. The balance of evapotranspiration, in excess of the about 0.5 Mgal/d of groundwater flow within the wetland, is supplied by saline to hypersaline surface water that may include seawater and meteoric water highly affected by evaporation with dissolved salts. In one of the extreme scenarios in which no groundwater is intercepted by pumpage at the Restaurada well field, the amount of saline to hypersaline water in the wetland consumed by evapotranspiration is about 10.5 Mgal/d. In the opposite extreme in which the entire regional groundwater flow is intercepted by pumpage in the Restaurada well field, the entire evapotranpiration requirement is met by saline to hypersaline water. Hydrologic, isotopic, and chemical data indicate that all of, or a large portion of, the historical groundwater flow to Punta Cabullones is being captured by the Puerto Rico Aqueducts and Sewer Authority pumpage at the Restaurada well field at a rate of about 2 Mgal/d. As a consequence, seawater intrusion into the aquifer at the Punta Cabullones area seems to be occurring, while the current pumpage at the Restaurada well field is sustained by storage depletion of the aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145102","collaboration":"Prepared in cooperation with the Municipio Autónomo de Ponce and the Puerto Rico Department of Natural and Environmental Resources","usgsCitation":"Rodríguez-Martínez, J., and Soler-Lopez, L.R., 2014, Hydrogeology and hydrology of the Punta Cabullones wetland area, Ponce, southern Puerto Rico, 2007-08: U.S. Geological Survey Scientific Investigations Report 2014-5102, ix, 58 p., https://doi.org/10.3133/sir20145102.","productDescription":"ix, 58 p.","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-013823","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":292605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145102.jpg"},{"id":292604,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5102/pdf/sir2014-5102.pdf"},{"id":292603,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5102/"}],"scale":"24000","projection":"Lambert conformal conic projection","datum":"North American Datum of 1927","country":"United States","state":"Puerto Rico","city":"Ponce","otherGeospatial":"Punta Cabullones Wetland Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.616667,17.958333 ], [ -66.616667,18.008333 ], [ -66.575,18.008333 ], [ -66.575,17.958333 ], [ -66.616667,17.958333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f5a82fe4b09d12e0e85124","contributors":{"authors":[{"text":"Rodríguez-Martínez, Jesús","contributorId":48149,"corporation":false,"usgs":true,"family":"Rodríguez-Martínez","given":"Jesús","affiliations":[],"preferred":false,"id":495819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495818,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70104613,"text":"sim3296 - 2014 - Hydrogeology of Puerto Rico and the outlying islands of Vieques, Culebra, and Mona","interactions":[],"lastModifiedDate":"2014-08-19T09:51:28","indexId":"sim3296","displayToPublicDate":"2014-08-19T09:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3296","title":"Hydrogeology of Puerto Rico and the outlying islands of Vieques, Culebra, and Mona","docAbstract":"<p>The availability of hydrogeologic maps for Puerto Rico and the outlying islands of Vieques, Culebra, and Mona are important to hydrogeologists, groundwater specialists, and water resource managers and planners. These maps, in combination with the report, serve as a source of information to all users by providing basic hydrogeologic and hydrologic knowledge in a concise illustrated format.</p>\n<br/>\n<p>Puerto Rico and the outlying islands cover a total area of 8,927 square kilometers (km<sup>2</sup>). Of this total area, about 3,500 km<sup>2</sup> are underlain by hydrogeologic units that are classified as intergranular or fissured. These hydrogeologic units form the principal aquifer systems throughout Puerto Rico and the outlying islands.</p>\n<br/>\n<p>In Puerto Rico, the most extensive and intensely developed aquifers are the North Coast Limestone aquifer system and the South Coastal Alluvial Plain aquifer system. Withdrawals from these two aquifer systems constitute nearly 70 percent of the total groundwater withdrawn in Puerto Rico.</p>\n<br/>\n<p>The spatial extent of the North Coast Limestone aquifer system is about 2,000 km<sup>2</sup>. Within this aquifer system, groundwater development is greatest in the 800-km<sup>2</sup> area between the Río Grande de Arecibo and the Río de la Plata. This also is the area for which concern is the highest regarding the future use of groundwater as a primary source of water for domestic and industrial use. With an estimated withdrawal of 280,000 cubic meters per day (m<sup>3</sup>/d), groundwater constituted the principal source of water within this area providing 100 percent of the water for self-supplied industries and about 85 percent for public water supplies in 1985. By 2005, groundwater withdrawals decreased to 150,000 m<sup>3</sup>/d.</p>\n<br/>\n<p>The spatial extent of the South Coastal Alluvial Plain aquifer system is about 470 km<sup>2</sup>. The estimated consumptive groundwater withdrawal from the aquifer system was 190,000 m<sup>3</sup>/d in 1980 and 170,000 m<sup>3</sup>/d in 2005. About 60 percent and 40 percent of the groundwater withdrawal from the South Coastal Alluvial Plain aquifer system was used for public water supply and irrigation, respectively.</p>\n<br/>\n<p>In the outlying islands of Vieques, Culebra, and Mona, only Vieques is underlain by aquifers of any local importance. The Resolución and Esperanza aquifers underlie an area covering 16 km<sup>2</sup> on the island of Vieques. Prior to 1978 when an underwater public water-supply pipeline connecting Vieques to the main island of Puerto Rico was completed, groundwater withdrawal from the two aquifers was as much as 2,500 m<sup>3</sup>/d. Groundwater withdrawals in Vieques island in 2005 were estimated at less than 100 m<sup>3</sup>/d.</p>\n<br/>\n<p>The potential development of relatively untapped groundwater resources in Puerto Rico is limited to the Río Grande de Añasco valley and the Río Culebrinas valley in the western part of the island and to the Río Grande de Arecibo part of the North Coast Limestone aquifer system. In general, the North Coast Limestone and the South Coastal Alluvial Plain aquifer systems, which are the two principal groundwater-flow systems in Puerto Rico, show evidence of aquifer overdraft as indicated by regional increases in concentrations of dissolved solids.</p>\n<br/>\n<p>Optimization of withdrawals through conjunctive use of both surface-water and groundwater sources and by instituting water conservation measures has the greatest potential to ensure the continued use of groundwater resources. In support of these efforts, programs also could be implemented to improve database information regarding groundwater withdrawals and the contribution of surface-water diversions to surface-water flow, especially within the southern coastal plain of Puerto Rico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3296","collaboration":"Prepared in cooperation with the Commonwealth of Puerto Rico","usgsCitation":"Gómez-Gómez, F., Rodríguez-Martínez, J., and Santiago, M., 2014, Hydrogeology of Puerto Rico and the outlying islands of Vieques, Culebra, and Mona: U.S. Geological Survey Scientific Investigations Map 3296, Report: vi, 40 p.; 2 Plates: 33.0 x 19.0 inches and 28.5 x 22.0 inches, https://doi.org/10.3133/sim3296.","productDescription":"Report: vi, 40 p.; 2 Plates: 33.0 x 19.0 inches and 28.5 x 22.0 inches","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-020714","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":292516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3296.jpg"},{"id":292515,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3296/plates/sim3296_plate2.pdf"},{"id":292514,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3296/plates/sim3296_plate1.pdf"},{"id":292513,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3296/pdf/sim3296.pdf"},{"id":292512,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3296/"}],"projection":"Lambert conformal conic projection","datum":"Puerto Rico Datum","country":"Puerto Rico","otherGeospatial":"Culebra;Mona;Vieques","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.966667,17.75 ], [ -67.966667,18.583333 ], [ -65.225,18.583333 ], [ -65.225,17.75 ], [ -67.966667,17.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f456afe4b073ff7739d84b","contributors":{"authors":[{"text":"Gómez-Gómez, Fernando","contributorId":31366,"corporation":false,"usgs":true,"family":"Gómez-Gómez","given":"Fernando","affiliations":[],"preferred":false,"id":493741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodríguez-Martínez, Jesús","contributorId":48149,"corporation":false,"usgs":true,"family":"Rodríguez-Martínez","given":"Jesús","affiliations":[],"preferred":false,"id":493742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santiago, Marilyn 0000-0002-2803-6799 msant@usgs.gov","orcid":"https://orcid.org/0000-0002-2803-6799","contributorId":5958,"corporation":false,"usgs":true,"family":"Santiago","given":"Marilyn","email":"msant@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70119267,"text":"70119267 - 2014 - Tracking geomorphic signatures of watershed suburbanization with multi-temporal LiDAR","interactions":[],"lastModifiedDate":"2014-08-15T08:48:57","indexId":"70119267","displayToPublicDate":"2014-08-15T09:06:02","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Tracking geomorphic signatures of watershed suburbanization with multi-temporal LiDAR","docAbstract":"Urban development practices redistribute surface materials through filling, grading, and terracing, causing drastic changes to the geomorphic organization of the landscape. Many studies document the hydrologic, biologic, or geomorphic consequences of urbanization using space-for-time comparisons of disparate urban and rural landscapes. However, no previous studies have documented geomorphic changes from development using multiple dates of high-resolution topographic data at the watershed scale. This study utilized a time series of five sequential light detection and ranging (LiDAR) derived digital elevation models (DEMs) to track watershed geomorphic changes within two watersheds throughout development (2002–2008) and across multiple spatial scales (0.01–1 km<sup>2</sup>). Development-induced changes were compared against an undeveloped forested watershed during the same time period. Changes in elevations, slopes, hypsometry, and surface flow pathways were tracked throughout the development process to assess watershed geomorphic alterations. Results suggest that development produced an increase in sharp topographic breaks between relatively flat surfaces and steep slopes, replacing smoothly varying hillslopes and leading to greater variation in slopes. Examinations of flowpath distributions highlight systematic modifications that favor rapid convergence in unchanneled upland areas. Evidence of channel additions in the form of engineered surface conduits is apparent in comparisons of pre- and post-development stream maps. These results suggest that topographic modification, in addition to impervious surfaces, contributes to altered hydrologic dynamics observed in urban systems. This work highlights important considerations for the use of repeat LiDAR flights in analyzing watershed change through time. Novel methods introduced here may allow improved understanding and targeted mitigation of the processes driving geomorphic changes during development and help guide future research directions for development-based watershed studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2014.04.038","usgsCitation":"Jones, D.K., Baker, M.E., Miller, A.J., Jarnagin, S., and Hogan, D.M., 2014, Tracking geomorphic signatures of watershed suburbanization with multi-temporal LiDAR: Geomorphology, v. 219, p. 42-52, https://doi.org/10.1016/j.geomorph.2014.04.038.","productDescription":"11 p.","startPage":"42","endPage":"52","numberOfPages":"11","ipdsId":"IP-051787","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":291751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291737,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2014.04.038"}],"volume":"219","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef10aee4b0bfa1f993514b","contributors":{"authors":[{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew E.","contributorId":42889,"corporation":false,"usgs":true,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Andrew J.","contributorId":7559,"corporation":false,"usgs":true,"family":"Miller","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnagin, S. Taylor","contributorId":32816,"corporation":false,"usgs":true,"family":"Jarnagin","given":"S. Taylor","affiliations":[],"preferred":false,"id":497633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":497630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70120271,"text":"ofr20141172 - 2014 - Wetland management and rice farming strategies to decrease methylmercury bioaccumulation and loads from the Cosumnes River Preserve, California","interactions":[],"lastModifiedDate":"2022-04-21T21:05:11.01929","indexId":"ofr20141172","displayToPublicDate":"2014-08-14T16:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1172","title":"Wetland management and rice farming strategies to decrease methylmercury bioaccumulation and loads from the Cosumnes River Preserve, California","docAbstract":"<p><span>We evaluated mercury (Hg) concentrations in caged fish (deployed for 30 days) and water from agricultural wetland (rice fields), managed wetland, slough, and river habitats in the Cosumnes River Preserve, California. We also implemented experimental hydrological regimes on managed wetlands and post-harvest rice straw management techniques on rice fields in order to evaluate potential Best Management Practices to decrease methylmercury bioaccumulation within wetlands and loads to the Sacramento-San Joaquin River Delta. Total Hg concentrations in caged fish were twice as high in rice fields as in managed wetland, slough, or riverine habitats, including seasonal managed wetlands subjected to identical hydrological regimes. Caged fish Hg concentrations also differed among managed wetland treatments and post-harvest rice straw treatments. Specifically, Hg concentrations in caged fish decreased from inlets to outlets in seasonal managed wetlands with either a single (fall-only) or dual (fall and spring) drawdown and flood-up events, whereas Hg concentrations increased slightly from inlets to outlets in permanent managed wetlands. In rice fields, experimental post-harvest straw management did not decrease Hg concentrations in caged fish. In fact, in fields in which rice straw was chopped and either disked into the soil or baled and removed from the fields, fish Hg concentrations increased from inlets to outlets and were higher than Hg concentrations in fish from rice fields subjected to the more standard post-harvest practice of simply chopping rice straw prior to fall flood-up. Finally, aqueous methylmercury (MeHg) concentrations and export were highly variable, and seasonal trends in particular were often opposite to those of caged fish. Aqueous MeHg concentrations and loads were substantially higher in winter than in summer, whereas caged fish Hg concentrations were relatively low in winter and substantially higher in summer. Together, our results highlight the importance of habitat, seasonal processes, and wetland management practices on Hg cycling and ecological risk in aquatic ecosystems.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141172","collaboration":"Prepared in cooperation with the Bureau of Land Management and Central Valley Regional Water Quality Control Board","usgsCitation":"Eagles-Smith, C.A., Ackerman, J., Fleck, J., Windham-Myers, L., McQuillen, H., and Heim, W., 2014, Wetland management and rice farming strategies to decrease methylmercury bioaccumulation and loads from the Cosumnes River Preserve, California: U.S. Geological Survey Open-File Report 2014-1172, vi, 42 p., https://doi.org/10.3133/ofr20141172.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-057559","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":292237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141172.jpg"},{"id":292235,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1172/"},{"id":292236,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1172/pdf/ofr2014-1172.pdf"},{"id":399471,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100548.htm"}],"country":"United States","state":"California","otherGeospatial":"Cosumnes River Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5308,\n              38.2394\n            ],\n            [\n              -121.3519,\n              38.2394\n            ],\n            [\n              -121.3519,\n              38.3294\n            ],\n            [\n              -121.5308,\n              38.3294\n            ],\n            [\n              -121.5308,\n              38.2394\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf36e4b0f61b386c8278","contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":498086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":498085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Jacob 0000-0002-3217-3972","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":47883,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","affiliations":[],"preferred":false,"id":498089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":498087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McQuillen, Harry","contributorId":19089,"corporation":false,"usgs":true,"family":"McQuillen","given":"Harry","affiliations":[],"preferred":false,"id":498088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heim, Wes","contributorId":63324,"corporation":false,"usgs":true,"family":"Heim","given":"Wes","email":"","affiliations":[],"preferred":false,"id":498090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70119490,"text":"sir20145150 - 2014 - Hydrologic models and analysis of water availability in Cuyama Valley, California","interactions":[],"lastModifiedDate":"2014-08-14T16:06:03","indexId":"sir20145150","displayToPublicDate":"2014-08-14T15:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5150","title":"Hydrologic models and analysis of water availability in Cuyama Valley, California","docAbstract":"<p>Changes in population, agricultural development practices (including shifts to more water-intensive crops), and climate variability are placing increasingly larger demands on available water resources, particularly groundwater, in the Cuyama Valley, one of the most productive agricultural regions in Santa Barbara County. The goal of this study was to produce a model capable of being accurate at scales relevant to water management decisions that could be considered in the evaluation of the sustainable water supply. The Cuyama Valley Hydrologic Model (CUVHM) was designed to simulate the most important natural and human components of the hydrologic system, including components dependent on variations in climate, thereby providing a reliable assessment of groundwater conditions and processes that can inform water users and help to improve planning for future conditions. Model development included a revision of the conceptual model of the flow system, construction of a precipitation-runoff model using the Basin Characterization Model (BCM), and construction of an integrated hydrologic flow model with MODFLOW-One-Water Hydrologic Flow Model (MF-OWHM). The hydrologic models were calibrated to historical conditions of water and land use and, then, used to assess the use and movement of water throughout the Valley. These tools provide a means to understand the evolution of water use in the Valley, its availability, and the limits of sustainability.</p>\n<br/>\n<p>The conceptual model identified inflows and outflows that include the movement and use of water in both natural and anthropogenic systems. The groundwater flow system is characterized by a layered geologic sedimentary sequence that—in combination with the effects of groundwater pumping, natural recharge, and the application of irrigation water at the land surface—displays vertical hydraulic-head gradients. Overall, most of the agricultural demand for water in the Cuyama Valley in the initial part of the growing season is supplied by groundwater, which is augmented by precipitation during wet winter and spring seasons. In addition, the amount of groundwater used for irrigation varies from year to year in response to climate variation and can increase dramatically in dry years. Model simulation results, however, also indicated that irrigation may have been less efficient during wet years. Agricultural pumpage is a major component to simulated outflow that is often poorly recorded. Therefore, an integrated, coupled farm-process model is used to estimate historical pumpage for water-balance subregions that evolved with the development of groundwater in the Valley from 1949 through 2010. The integrated hydrologic model includes these water-balance subregions and delineates natural, municipal, and agricultural land use; streamflow networks; and groundwater flow systems. The redefinition of the geohydrologic framework (including the internal architecture of the sedimentary units) and incorporation of these units into the simulation of the regional groundwater flow system indicated that faults have compartmentalized the alluvial deposits into subregions, which have responded differently to regional groundwater flow, locations of recharge, and the effects of development. The Cuyama Valley comprises nine subregions grouped into three regional zones, the Main, Ventucopa Uplands, and Sierra Madre Foothills, which are fault bounded, represent different proportions of the three alluvial aquifers, and have different water quality.</p>\n<br/>\n<p>The CUVHM uses MF-OWHM to simulate and assess the use and movement of water, including the evolution of land use and related water-balance regions. The model is capable of being accurate at annual to interannual time frames and at subregional to valley-wide spatial scales, which allows for analysis of the groundwater hydrologic budget for the water years 1950–2010, as well as potential assessment of the sustainable use of groundwater.</p>\n<br/>\n<p>Simulated changes in storage over time showed that significant withdrawals from storage generally occurred not only during drought years (1976–77 and 1988–92) but also during the early stages of industrial agriculture, which was initially dominated by alfalfa production. Since the 1990s, agriculture has shifted to more water-intensive crops. Measured and simulated groundwater levels indicated substantial declines in selected subregions, mining of groundwater that is thousands to tens of thousands of years old, increased groundwater storage depletion, and land subsidence. Most of the recharge occurs in the upland regions of Ventucopa and Sierra Madre Foothills, and the largest fractions of pumpage and storage depletion occur in the Main subregion. The long-term imbalance between inflows and outflows resulted in simulated overdraft (groundwater withdrawals in excess of natural recharge) of the groundwater basin over the 61-year period of 1949–2010. Changes in storage varied considerably from year to year, depending on land use, pumpage, and climate conditions. Climatically driven factors can greatly affect inflows, outflows, and water use by more than a factor of two between wet and dry years. Although precipitation during inter-decadal wet years previously replenished the basin, the water use and storage depletion have lessened the effects of these major recharge events. Simulated and measured water-level altitudes indicated the presence of large areas where depressed water levels have resulted in large desaturated zones in the younger and Older Alluvium layers in the Main-zone subregions. The results of modeled projection of the base-case scenario 61 years into the future indicated that current supply-and-demand are unsustainable and will result in additional groundwater-level declines and related storage depletion and land subsidence. The reduced-supply and reduced-demand projections reduced groundwater storage depletion but may not allow for sustainable agriculture under current demands, agricultural practices, and land use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145150","collaboration":"Prepared in cooperation with Santa Barbara County Department of Public Works Water Agency","usgsCitation":"Hanson, R.T., Flint, L.E., Faunt, C., Gibbs, D.R., and Schmid, W., 2014, Hydrologic models and analysis of water availability in Cuyama Valley, California: U.S. Geological Survey Scientific Investigations Report 2014-5150, xii, 150 p., https://doi.org/10.3133/sir20145150.","productDescription":"xii, 150 p.","numberOfPages":"166","onlineOnly":"Y","ipdsId":"IP-036168","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":292234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145150.jpg"},{"id":292231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5150/"},{"id":292233,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5150/pdf/sir2014-5150.pdf"}],"projection":"Albers Projection","datum":"North American Datum 1983","country":"United States","state":"California","otherGeospatial":"Cuyama Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.866667,34.633333 ], [ -119.866667,35.05 ], [ -119.166667,35.05 ], [ -119.166667,34.633333 ], [ -119.866667,34.633333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf30e4b0f61b386c8268","contributors":{"authors":[{"text":"Hanson, R. T.","contributorId":91148,"corporation":false,"usgs":true,"family":"Hanson","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":497683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, Dennis R.","contributorId":21050,"corporation":false,"usgs":true,"family":"Gibbs","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":497684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":497685,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70119726,"text":"fs20143075 - 2014 - Cuyama Valley, California hydrologic study: an assessment of water availability","interactions":[],"lastModifiedDate":"2014-08-14T15:00:09","indexId":"fs20143075","displayToPublicDate":"2014-08-14T14:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3075","title":"Cuyama Valley, California hydrologic study: an assessment of water availability","docAbstract":"<p>Water resources are under pressure throughout California, particularly in agriculturally dominated valleys. Since 1949, the Cuyama Valley’s irrigated acreage has increased from 13 to 35 percent of the valley. Increased agriculture has contributed to the demand for water beyond natural recharge. The tools and information developed for this study can be used to help understand the Cuyama Valley aquifer system, an important resource of Santa Barbara County.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143075","usgsCitation":"Hanson, R.T., and Sweetkind, D., 2014, Cuyama Valley, California hydrologic study: an assessment of water availability: U.S. Geological Survey Fact Sheet 2014-3075, 4 p., https://doi.org/10.3133/fs20143075.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-042293","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":292223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143075.jpg"},{"id":292221,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3075/"},{"id":292222,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3075/pdf/fs2014-3075.pdf"}],"projection":"Albers Equal Area Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Cuyama Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.833333,34.666667 ], [ -119.833333,35.0 ], [ -119.333333,35.0 ], [ -119.333333,34.666667 ], [ -119.833333,34.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf2ee4b0f61b386c825b","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. dsweetkind@usgs.gov","contributorId":735,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","email":"dsweetkind@usgs.gov","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":false,"id":497766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70117069,"text":"fs20143060 - 2014 - Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin","interactions":[],"lastModifiedDate":"2014-08-14T14:17:09","indexId":"fs20143060","displayToPublicDate":"2014-08-14T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3060","title":"Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin","docAbstract":"Strategic Needs of Water on the Yukon (SNOWY) is an interdisciplinary research project funded by the National Science Foundation (NSF; <a href=\"http://www.nsf.gov/\" target=\"_blank\">http://www.nsf.gov/</a>). The SNOWY team is made up of a diverse group of researchers from different backgrounds and organizations. This partnership between scientists from different disciplines (hydrology, geography, and social science), government agencies, nonprofit organizations, universities, and Lower Yukon River Basin (LYRB) and Yukon-Kuskokwim (YK) Delta communities provided an opportunity to study the effects of climate change using a holistic approach. The Arctic and Subarctic are experiencing environmental change at a rate faster than the rest of the world, and the lack of historical baseline data in these often remote locations makes understanding and predicting regional climate change difficult. This project focused on collecting data to fill in these gaps by using both quantitative and qualitative methodologies to tell the story of environmental change in this region as told by the physical data and the people who rely on this landscape.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143060","usgsCitation":"Herman-Mercer, N.M., and Schuster, P.F., 2014, Strategic needs of water on the Yukon: an interdisciplinary approach to studying hydrology and climate change in the Lower Yukon River Basin: U.S. Geological Survey Fact Sheet 2014-3060, 4 p., https://doi.org/10.3133/fs20143060.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-057529","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":292213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143060.jpg"},{"id":292212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3060/pdf/fs2014-3060.pdf"},{"id":292211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3060/"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.57,60.47 ], [ -166.57,63.36 ], [ -161.34,63.36 ], [ -161.34,60.47 ], [ -166.57,60.47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf35e4b0f61b386c8274","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":495915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70110601,"text":"sim3299 - 2014 - Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013","interactions":[],"lastModifiedDate":"2014-08-14T09:58:55","indexId":"sim3299","displayToPublicDate":"2014-08-14T09:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3299","title":"Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013","docAbstract":"<p>Digital flood-inundation maps for a 5.4-mile reach of the Saddle River in New Jersey from Hollywood Avenue in Ho-Ho-Kus Borough downstream through the Village of Ridgewood and Paramus Borough to the confluence with Hohokus Brook in the Village of Ridgewood were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Saddle River at Ridgewood, New Jersey (station 01390500). Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at <a href=\"http://waterdata.usgs.gov/nwis/uv?site_no=01390500\">http://waterdata.usgs.gov/nwis/uv?site_no=01390500</a> or at the National Weather Services (NWS) Advanced Hydrologic Prediction Service (AHPS) at <a href=\"http://water.weather.gov/ahps2/hydrograph.php?wfo=okx&gage=rwdn4\">http://water.weather.gov/ahps2/hydrograph.php?wfo=okx&gage=rwdn4</a>.</p>\n<br>\n<p>In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation (March 11, 2011) at the USGS streamgage 01390500, Saddle River at Ridgewood, New Jersey. The hydraulic model was then used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from 5 ft, the NWS “action and minor flood stage”, to 14 ft, which is the maximum extent of the stage-discharge rating and 0.6 ft higher than the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84-ft) digital elevation model derived from Light Detection and Ranging (lidar) data in order to delineate the area flooded at each water level.</p>\n<br>\n<p>The availability of these maps along with information on the Internet regarding current stage from the USGS streamgage provides emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures as well as for post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3299","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Niemoczynski, M.J., 2014, Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013: U.S. Geological Survey Scientific Investigations Map 3299, Pamphlet: v, 10 p.; 10 Plates: 17.00 x 22.00 inches; Downloads directory, https://doi.org/10.3133/sim3299.","productDescription":"Pamphlet: v, 10 p.; 10 Plates: 17.00 x 22.00 inches; Downloads directory","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-055163","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":292169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3299.jpg"},{"id":292155,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3299/"},{"id":292156,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3299/downloads/sim3299-pamphlet.pdf"},{"id":292157,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_5_0.pdf"},{"id":292158,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_6_0.pdf"},{"id":292159,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_7_0.pdf"},{"id":292160,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_8_0.pdf"},{"id":292161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_9_0.pdf"},{"id":292162,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_10_0.pdf"},{"id":292163,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_11_0.pdf"},{"id":292164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_12_0.pdf"},{"id":292165,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_13_0.pdf"},{"id":292166,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_14_0.pdf"},{"id":292167,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3299/downloads"}],"datum":"North American Datum of 1983","country":"United States","state":"New Jersey","otherGeospatial":"Ho-ho-kus Borough;Paramus Borough;Saddle River;Village Of Redwood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.116667,40.95 ], [ -74.116667,41.0 ], [ -74.066667,41.0 ], [ -74.066667,40.95 ], [ -74.116667,40.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf2fe4b0f61b386c825e","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemoczynski, Michal J. 0000-0003-0880-7354 mniemocz@usgs.gov","orcid":"https://orcid.org/0000-0003-0880-7354","contributorId":5840,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Michal","email":"mniemocz@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}